| Efficient channel estimation for massive MIMO systems via truncated two-dimensional atomic norm minimization Y Wang, P Xu, Z Tian 2017 IEEE International Conference on Communications (ICC), 1-6, 2017 | 41 | 2017 |
| COKE: Communication-Censored Decentralized Kernel Learning P Xu, Y Wang, X Chen, Z Tian Journal of Machine Learning Research 22 (196), 1-35, 2021 | 33 | 2021 |
| COKE: Communication-Censored Kernel Learning via Random Features P Xu, Z Tian, Z Zhang, Y Wang IEEE Data Science Workshop, 2019 | 15 | 2019 |
| An energy-efficient distributed average consensus scheme via infrequent communication P Xu, Z Tian, Y Wang 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 11 | 2018 |
| A class of distributed event-triggered average consensus algorithms for multi-agent systems P Xu, C Nowzari, Z Tian International Journal of Control 95 (2), 502-515, 2020 | 6 | 2020 |
| Dc-cnn: computational flow redefinition for efficient cnn through structural decoupling F Yu, Z Qin, D Wang, P Xu, C Liu, Z Tian, X Chen 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2020 | 6 | 2020 |
| A class of event-triggered coordination algorithms for multi-agent systems on weight-balanced digraphs P Xu, C Nowzari, Z Tian 2018 Annual American Control Conference (ACC), 5988-5993, 2018 | 5 | 2018 |
| QC-ODKLA: Quantized and communication-censored online decentralized kernel learning via linearized ADMM P Xu, Y Wang, X Chen, Z Tian IEEE transactions on neural networks and learning systems, 2023 | 3 | 2023 |
| Deep kernel learning networks with multiple learning paths P Xu, Y Wang, X Chen, Z Tian ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 3 | 2022 |
| Robust distributed learning against both distributional shifts and byzantine attacks G Zhou, P Xu, Y Wang, Z Tian IEEE Transactions on Neural Networks and Learning Systems, 2024 | 2 | 2024 |
| Feature Extraction From Vibration Signature Required From Railroad Bearing Onboard Condition Monitoring Sensor Modules K Quaye, P Xu, D Dera, H Foltz, C Tarawneh, A Diaz ASME/IEEE Joint Rail Conference 87776, V001T01A013, 2024 | 1 | 2024 |
| Spectral Clustering in Railway Crossing Accidents Analysis E Villalobos, H Lugo, B Cheng, M Gutierrez, C Tarawneh, P Xu, J Chen, ... ASME/IEEE Joint Rail Conference 87776, V001T05A011, 2024 | 1 | 2024 |
| Communication-Efficient Decentralized Dynamic Kernel Learning P Xu, Y Wang, X Chen, Z Tian ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
| H-nobs: achieving certified fairness and robustness in distributed learning on heterogeneous datasets G Zhou, P Xu, Y Wang, Z Tian Advances in Neural Information Processing Systems 36, 2023 | 1 | 2023 |
| Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive Attributes Y Bian, Y Luo, P Xu arXiv preprint arXiv:2408.06099, 2024 | | 2024 |
| Kernel Ridge Regression in Predicting Railway Crossing Accidents E Villalobos, C Tarawneh, J Chen, EE Papalexakis, P Xu ASME/IEEE Joint Rail Conference 87776, V001T05A013, 2024 | | 2024 |
| Communication-Efficient Optimization and Learning for Distributed Multi-Agent Systems P Xu George Mason University, 2022 | | 2022 |
